Triple
T18824477
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aras |
E460346
|
entity |
| Predicate | passesNear |
P416
|
FINISHED |
| Object | Julfa |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Julfa | Statement: [Aras, passesNear, Julfa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Julfa Context triple: [Aras, passesNear, Julfa]
-
A.
Julfa
chosen
Julfa is a historic town in the Nakhchivan region of Azerbaijan, known for its strategic location on the Aras River near the Iranian border and its former Armenian cultural heritage.
-
B.
Khust
Khust is a historic town in western Ukraine’s Zakarpattia region, known for its medieval castle ruins and role as the political center of the short-lived Carpatho-Ukraine.
-
C.
Wazirabad
Wazirabad is a city in the Gujranwala District of Punjab, Pakistan, known for its cutlery industry and strategic location near the Chenab River.
-
D.
Jauharabad
Jauharabad is a planned town in Pakistan’s Punjab province, known for its proximity to key industrial and strategic facilities.
-
E.
Munkachevo
Munkachevo is a historic city in western Ukraine’s Zakarpattia region, known for its multicultural heritage and the prominent Palanok Castle.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d8dcf94c288190a06dea029ae4b223 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5a6bce5588190bd0aefcd0c51edad |
completed | April 20, 2026, 4:08 a.m. |
Created at: April 10, 2026, 11:56 a.m.